Software review: the GPTIPS platform

author = "Amir H. Gandomi and Ehsan Atefi",

title = "Software review: the {GPTIPS} platform",

journal = "Genetic Programming and Evolvable Machines",

year = "2020",

volume = "21",

number = "1-2",

pages = "273--280",

month = jun,

note = "Software review",

keywords = "genetic algorithms, genetic programming, GP, MGGP, SMGR",

ISSN = "1389-2576",

URL = "

https://rdcu.be/dR8qH",

DOI = "

doi:10.1007/s10710-019-09366-0",

size = "8 pages",

abstract = "GPTIPS is a widely used genetic programming software that was developed in Matlab. The most recent version of this software, GPTIPS 2.0, provides a symbolic multi-gene regression for data analysis, in addition to traditional evolutionary algorithms. We briefly explain the GPTIPS methodology and describe its main features, including its weaknesses and strengths, and give examples of GPTIPS applications.",

notes = "See \cite{GPTIPSGuide}",